Cargando…
High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp
Comparing neuronal microcircuits across different brain regions, species and individuals can reveal common and divergent principles of network computation. Simultaneous patch-clamp recordings from multiple neurons offer the highest temporal and subthreshold resolution to analyse local synaptic conne...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894931/ https://www.ncbi.nlm.nih.gov/pubmed/31742558 http://dx.doi.org/10.7554/eLife.48178 |
_version_ | 1783476489707061248 |
---|---|
author | Peng, Yangfan Mittermaier, Franz Xaver Planert, Henrike Schneider, Ulf Christoph Alle, Henrik Geiger, Jörg Rolf Paul |
author_facet | Peng, Yangfan Mittermaier, Franz Xaver Planert, Henrike Schneider, Ulf Christoph Alle, Henrik Geiger, Jörg Rolf Paul |
author_sort | Peng, Yangfan |
collection | PubMed |
description | Comparing neuronal microcircuits across different brain regions, species and individuals can reveal common and divergent principles of network computation. Simultaneous patch-clamp recordings from multiple neurons offer the highest temporal and subthreshold resolution to analyse local synaptic connectivity. However, its establishment is technically complex and the experimental performance is limited by high failure rates, long experimental times and small sample sizes. We introduce an in vitro multipatch setup with an automated pipette pressure and cleaning system facilitating recordings of up to 10 neurons simultaneously and sequential patching of additional neurons. We present hardware and software solutions that increase the usability, speed and data throughput of multipatch experiments which allowed probing of 150 synaptic connections between 17 neurons in one human cortical slice and screening of over 600 connections in tissue from a single patient. This method will facilitate the systematic analysis of microcircuits and allow unprecedented assessment of inter-individual variability. |
format | Online Article Text |
id | pubmed-6894931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-68949312019-12-06 High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp Peng, Yangfan Mittermaier, Franz Xaver Planert, Henrike Schneider, Ulf Christoph Alle, Henrik Geiger, Jörg Rolf Paul eLife Neuroscience Comparing neuronal microcircuits across different brain regions, species and individuals can reveal common and divergent principles of network computation. Simultaneous patch-clamp recordings from multiple neurons offer the highest temporal and subthreshold resolution to analyse local synaptic connectivity. However, its establishment is technically complex and the experimental performance is limited by high failure rates, long experimental times and small sample sizes. We introduce an in vitro multipatch setup with an automated pipette pressure and cleaning system facilitating recordings of up to 10 neurons simultaneously and sequential patching of additional neurons. We present hardware and software solutions that increase the usability, speed and data throughput of multipatch experiments which allowed probing of 150 synaptic connections between 17 neurons in one human cortical slice and screening of over 600 connections in tissue from a single patient. This method will facilitate the systematic analysis of microcircuits and allow unprecedented assessment of inter-individual variability. eLife Sciences Publications, Ltd 2019-11-19 /pmc/articles/PMC6894931/ /pubmed/31742558 http://dx.doi.org/10.7554/eLife.48178 Text en © 2019, Peng et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Peng, Yangfan Mittermaier, Franz Xaver Planert, Henrike Schneider, Ulf Christoph Alle, Henrik Geiger, Jörg Rolf Paul High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp |
title | High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp |
title_full | High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp |
title_fullStr | High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp |
title_full_unstemmed | High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp |
title_short | High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp |
title_sort | high-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894931/ https://www.ncbi.nlm.nih.gov/pubmed/31742558 http://dx.doi.org/10.7554/eLife.48178 |
work_keys_str_mv | AT pengyangfan highthroughputmicrocircuitanalysisofindividualhumanbrainsthroughnextgenerationmultineuronpatchclamp AT mittermaierfranzxaver highthroughputmicrocircuitanalysisofindividualhumanbrainsthroughnextgenerationmultineuronpatchclamp AT planerthenrike highthroughputmicrocircuitanalysisofindividualhumanbrainsthroughnextgenerationmultineuronpatchclamp AT schneiderulfchristoph highthroughputmicrocircuitanalysisofindividualhumanbrainsthroughnextgenerationmultineuronpatchclamp AT allehenrik highthroughputmicrocircuitanalysisofindividualhumanbrainsthroughnextgenerationmultineuronpatchclamp AT geigerjorgrolfpaul highthroughputmicrocircuitanalysisofindividualhumanbrainsthroughnextgenerationmultineuronpatchclamp |